halfdan/eva2
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Reformatted several files, code cleanup

Browse Source
This commit is contained in:
Fabian Becker 2013-02-25 16:18:04 +01:00
parent 6edf5a50f6
commit 88d6c93931
4 changed files with 79 additions and 78 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

48
src/eva2/examples/TerminatorExample.java
View File

@ -11,29 +11,31 @@ import eva2.optimization.operators.terminators.PopulationMeasureTerminator.Stagn
import eva2.optimization.problems.F1Problem;
public class TerminatorExample {
public static void main(String[] args) {
F1Problem f1 = new F1Problem();
double[] sol;
// A combined terminator for fitness and phenotype convergence
CombinedTerminator convT = new CombinedTerminator(
// fitness-based stagnation period, absolute threshold, consider stagnation
// in both direction (per dim.) or w.r.t. minimization only
new FitnessConvergenceTerminator(0.0001, 1000, StagnationTypeEnum.fitnessCallBased, ChangeTypeEnum.absoluteChange, DirectionTypeEnum.decrease),
new PhenotypeConvergenceTerminator(0.0001, 1000, StagnationTypeEnum.fitnessCallBased, ChangeTypeEnum.absoluteChange, DirectionTypeEnum.bidirectional),
CombinedTerminator.AND);
// Adding an evaluation terminator with OR to the convergence criterion
OptimizerFactory.setTerminator(new CombinedTerminator(
new EvaluationTerminator(20000),
convT,
CombinedTerminator.OR));
sol = OptimizerFactory.optimizeToDouble(OptimizerFactory.PSO, f1, null);
System.out.println(OptimizerFactory.lastEvalsPerformed()
+ " evals performed. "
+ OptimizerFactory.terminatedBecause()
+ " Found solution: ");
for (int i=0; i<f1.getProblemDimension(); i++) {
public static void main(String[] args) {
F1Problem f1 = new F1Problem();
double[] sol;
// A combined terminator for fitness and phenotype convergence
CombinedTerminator convT = new CombinedTerminator(
// fitness-based stagnation period, absolute threshold, consider stagnation
// in both direction (per dim.) or w.r.t. minimization only
new FitnessConvergenceTerminator(0.0001, 1000, StagnationTypeEnum.fitnessCallBased, ChangeTypeEnum.absoluteChange, DirectionTypeEnum.decrease),
new PhenotypeConvergenceTerminator(0.0001, 1000, StagnationTypeEnum.fitnessCallBased, ChangeTypeEnum.absoluteChange, DirectionTypeEnum.bidirectional),
CombinedTerminator.AND);
// Adding an evaluation terminator with OR to the convergence criterion
OptimizerFactory.setTerminator(new CombinedTerminator(
new EvaluationTerminator(20000),
convT,
CombinedTerminator.OR));
sol = OptimizerFactory.optimizeToDouble(OptimizerFactory.PSO, f1, null);
System.out.println(OptimizerFactory.lastEvalsPerformed()
+ " evals performed. "
+ OptimizerFactory.terminatedBecause()
+ " Found solution: ");
for (int i = 0; i < f1.getProblemDimension(); i++) {
System.out.print(sol[i] + " ");
}
System.out.println();
};
System.out.println();
}
;
}

20
src/eva2/examples/TestingF1PSO.java
View File

@ -1,17 +1,19 @@
package eva2.examples;
import eva2.OptimizerFactory;
import eva2.optimization.problems.F1Problem;
public class TestingF1PSO {
public static void main(String[] args) {
F1Problem f1 = new F1Problem();
// start a PSO with a runtime of 50000 evaluations
OptimizerFactory.setEvaluationTerminator(50000);
double[] sol = OptimizerFactory.optimizeToDouble(OptimizerFactory.PSO, f1, null);
System.out.println(OptimizerFactory.terminatedBecause() + "\nFound solution: ");
for (int i=0; i<f1.getProblemDimension(); i++) {
public static void main(String[] args) {
F1Problem f1 = new F1Problem();
// start a PSO with a runtime of 50000 evaluations
OptimizerFactory.setEvaluationTerminator(50000);
double[] sol = OptimizerFactory.optimizeToDouble(OptimizerFactory.PSO, f1, null);
System.out.println(OptimizerFactory.terminatedBecause() + "\nFound solution: ");
for (int i = 0; i < f1.getProblemDimension(); i++) {
System.out.print(sol[i] + " ");
}
System.out.println();
};
System.out.println();
}
}

53
src/eva2/examples/TestingPlusCmaEs.java
View File

@ -1,4 +1,5 @@
package eva2.examples;
import eva2.OptimizerFactory;
import eva2.optimization.individuals.AbstractEAIndividual;
import eva2.optimization.operators.crossover.CrossoverESDefault;
@ -9,32 +10,34 @@ import eva2.optimization.strategies.EvolutionStrategies;
import eva2.optimization.modules.GOParameters;
public class TestingPlusCmaEs {
public static void main(String[] args) {
// a simple bimodal target function, two optima near (1.7,0) and (-1.44/0)
FM0Problem fm0 = new FM0Problem();
AbstractEAIndividual bestIndy;
// create standard ES parameters
GOParameters esParams = OptimizerFactory.standardES(fm0);
esParams.setTerminator(new EvaluationTerminator(2000));
// set a random seed based on system time
esParams.setSeed(0);
// set evolutionary operators and probabilities
AbstractEAIndividual.setOperators(
fm0.getIndividualTemplate(),
new MutateESCovarianceMatrixAdaption(true), 0.9,
new CrossoverESDefault(), 0.1);
public static void main(String[] args) {
// a simple bimodal target function, two optima near (1.7,0) and (-1.44/0)
FM0Problem fm0 = new FM0Problem();
AbstractEAIndividual bestIndy;
// create standard ES parameters
GOParameters esParams = OptimizerFactory.standardES(fm0);
esParams.setTerminator(new EvaluationTerminator(2000));
// set a random seed based on system time
esParams.setSeed(0);
// access the ES
EvolutionStrategies es = (EvolutionStrategies)esParams.getOptimizer();
// set a (1+5) selection strategy
es.setMu(1);
es.setLambda(5);
es.setPlusStrategy(true);
// set evolutionary operators and probabilities
AbstractEAIndividual.setOperators(
fm0.getIndividualTemplate(),
new MutateESCovarianceMatrixAdaption(true), 0.9,
new CrossoverESDefault(), 0.1);
// run optimization and retrieve winner individual
bestIndy = (AbstractEAIndividual)OptimizerFactory.optimizeToInd(esParams, null);
System.out.println(esParams.getTerminator().lastTerminationMessage() + "\nFound solution: "
+ AbstractEAIndividual.getDefaultDataString(bestIndy));
};
// access the ES
EvolutionStrategies es = (EvolutionStrategies) esParams.getOptimizer();
// set a (1+5) selection strategy
es.setMu(1);
es.setLambda(5);
es.setPlusStrategy(true);
// run optimization and retrieve winner individual
bestIndy = (AbstractEAIndividual) OptimizerFactory.optimizeToInd(esParams, null);
System.out.println(esParams.getTerminator().lastTerminationMessage() + "\nFound solution: "
+ AbstractEAIndividual.getDefaultDataString(bestIndy));
}
;
}

36
src/eva2/optimization/tools/TestingDArea.java
View File

@ -1,16 +1,11 @@
package eva2.optimization.tools;
import eva2.tools.chart2d.*;
import java.awt.*;
import javax.swing.*;
/**
* Created by IntelliJ IDEA.
* User: streiche
* Date: 06.05.2004
* Time: 13:17:55
* To change this template use File | Settings | File Templates.
*
*/
public class TestingDArea {
@ -19,27 +14,26 @@ public class TestingDArea {
}
private void init() {
JFrame frame = new JFrame("Testing DArea");
JPanel panel = new JPanel();
JFrame frame = new JFrame("Testing DArea");
JPanel panel = new JPanel();
frame.getContentPane().add(panel);
DArea area = new DArea();
area = new DArea();
area.setBackground(Color.white);
area.setPreferredSize( new Dimension(600,500) );
area.setVisibleRectangle( 1, 1, 100000, 1000 );
area.setVisibleRectangle( 0,-3, 10, 10 );//m_PlotArea.setAutoFocus(true);
area.setMinRectangle(0,0,1,1);
ScaledBorder myBorder = new ScaledBorder();
myBorder.x_label = "x";//"App. " + Name + " func. calls";
myBorder.y_label = "y";//"fitness";
area.setBorder( myBorder );
area.setAutoGrid(true);
area.setGridVisible(true);
area.setBackground(Color.white);
area.setPreferredSize(new Dimension(600, 500));
area.setVisibleRectangle(1, 1, 100000, 1000);
area.setVisibleRectangle(0, -3, 10, 10);//m_PlotArea.setAutoFocus(true);
area.setMinRectangle(0, 0, 1, 1);
ScaledBorder myBorder = new ScaledBorder();
myBorder.x_label = "x";//"App. " + Name + " func. calls";
myBorder.y_label = "y";//"fitness";
area.setBorder(myBorder);
area.setAutoGrid(true);
area.setGridVisible(true);
DRectangle rect = new DRectangle(1, 1, 2, 2);
rect.setColor(Color.black);
rect.setFillColor(Color.red);
DPointSet points = new DPointSet();
DPointSet points = new DPointSet();
points.addDPoint(2, 3);
points.addDPoint(4, 5);
area.addDElement(rect);